S&P Global Market Intelligence Wins Risk technology Award for FRTB Solution
As the Fundamental Review of the Trading Book (FRTB) implementation gathers pace across major jurisdictions, banks face mounting pressure to enhance their market risk infrastructures, validate risk models and prepare for supervisory approval processes.In this demanding surroundings, S&P Global Market Intelligence has been recognized for its Traded Market Risk Solution, winning Regulatory capital calculation product of the year at the Risk Technology Awards 2025.
The FRTB regulation, which introduces stringent rules regarding the internal models approach (IMA), profit-and-loss attribution and the ‘modellability’ of risk factors, has substantially raised the bar for regulatory capital calculation. S&P Global Market Intelligence’s Traded Market risk Solution seeks to reduce the implementation burden for banks by providing out-of-the-box support for both the standardized approach (SA) and IMA. In doing so, it allows banks to explore the trade-offs between regulatory compliance and capital optimization in real time.
Judges said:
- “Good, strong product.”
- “The product is well utilized in the market.”
- “Built on sound risk management principles.”
The platform offers capabilities across modellability assessment, scenario generation, capital analytics and stress-testing – all designed to work across both SA and IMA. That combination has enabled banks to assess regulatory capital across multiple jurisdictions, consolidate risk frameworks and engage more effectively with regulators.
The modellability service stands out for its depth. It combines real-price observation data with configurable analytics, allowing banks to assess whether risk factors meet the modellability thresholds that determine their capital treatment under FRTB. The service is used not only by banks but increasingly by regulators, reflecting its robustness and market relevance.
Scenario generation is another area in which the solution has demonstrated strength. The platform supports historical pricing time-series creation, proxy